Fine-Tuning

Fine-tuning guidance for Axolotl, LLaMA-Factory, PEFT, and Unsloth.

Parent repository GitHub

Type: skill category / Claude plugin
Repository: Orchestra-Research/AI-Research-SKILLs
Readiness: Usable for guided research workflows, but framework guidance, autonomous claims, and demo results require project-specific validation
Keywords: 6

Location

Repository path

03-fine-tuning/

Invocation

/plugin install fine-tuning@ai-research-skills

Setup

Installation / activation

Model fine-tuning, LoRA, QLoRA, or supported-framework tasks.

Keywords

fine-tuningAxolotlLLaMA-FactoryPEFTUnslothLoRA

Repository context

Orchestra-Research/AI-Research-SKILLs

MIT-licensed, cross-agent library of 98 stated SKILL.md research and engineering playbooks in 23 categories; for Claude Code it installs as individual or category skills and adds an autoresearch layer that routes literature, ideation, experimentation, analysis, artifact, and paper-writing work across domain skills.

AI researchMachine learning engineeringLarge language modelsModel trainingModel evaluationMechanistic interpretabilityInference and servingMLOps and infrastructureRetrieval-augmented generationMultimodal AIAI safety and alignmentScientific communication

Open full repository research